Deep expertise, repeatable results

01 — Modernization

Legacy Solution Modernization

We transform brittle, business-critical systems into lean, cloud-ready assets — without stopping the business clock.

Typical focus

• Decompose monoliths into REST/gRPC microservices
• Lift and shift, plus container hardening with Docker and AKS
• .NET Framework-to-latest-.NET refactors
• Automated CI/CD, quality gates, and APM instrumentation

Outcomes: Reduced technical debt, faster release cadence, measurable cost savings, and clearer SLA ownership.

02 — Cloud

Cloud Migration

We audit, plan, and move workloads to Azure — minimizing downtime and maximizing ROI.

Typical focus

• Discovery and assessment with Azure Migrate and TCO analysis
• Landing-zone design: hub-and-spoke, policy as code, and RBAC
• Rehost, refactor, or containerize .NET, Java, Linux, and Windows applications
• Data migration to Azure SQL MI, Cosmos DB, and Synapse
• Hybrid connectivity with VPN, ExpressRoute, and Arc-enabled assets
• IaC and DevOps pipelines with Bicep, Terraform, GitHub, or Azure DevOps
• FinOps dashboards for ongoing cost governance

Outcomes: Seamless cutover, predictable costs, hardened security posture, and repeatable release pipelines.

03 — Data

Data Engineering & Analytics

From raw events to real-time insight, we build data backbones that survive audit day.

Typical focus

• Event streaming with Kafka or Event Hubs to a lakehouse with ADLS Gen2 and Synapse/Fabric
• ELT pipelines with Data Factory and Databricks notebooks
• Semantic models for Power BI and role-based data security
• Performance tuning for SQL MI, Cosmos DB, Redis, and scale-out OLTP

Outcomes: A single source of truth, sub-second dashboards, and a platform ready for advanced AI workloads.

04 — AI

Generative AI Agents

We turn LLM hype into domain-specific copilots that actually ship.

Typical focus

• Azure OpenAI and retrieval-augmented generation (RAG)
• Secure prompt flows, PII redaction, and audit logging
• Agent orchestration with Semantic Kernel or LangChain-C# using a plugin pattern
• MLOps for continuous model evaluation and rollback

Outcomes: Self-service knowledge bots, automated workflows, and documented ROI metrics.